答案 0 :(得分:11)
该方法与the other SO answer中的方法基本相同;将每一行除以行的总和:
df = df.divide(df.sum(axis=1), axis=0)
然后你可以像往常一样打电话给df.plot(kind='area', stacked=True, ...)
。
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.random.seed(2015)
y = np.random.randint(5, 50, (10,3))
x = np.arange(10)
df = pd.DataFrame(y, index=x)
df = df.divide(df.sum(axis=1), axis=0)
ax = df.plot(kind='area', stacked=True, title='100 % stacked area chart')
ax.set_ylabel('Percent (%)')
ax.margins(0, 0) # Set margins to avoid "whitespace"
plt.show()
产量